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Even the tokenization is wonky. Imagine if you had no concept of math characters and instead has a lookup table of common-ngrams (BPE encoding). For example, th
by mirker 5y ago
Even the tokenization is wonky. Imagine if you had no concept of math characters and instead has a lookup table of common-ngrams (BPE encoding). For example, the binary addition function “a+b” may be tokenized as a unary “3+b” because “3+b” occurs commonly. That tokenization is vastly different from “3.00000001+b”. GPT has to invert this tokenization artifact with finite training data.
- ravi-delia 5y agoYeah, I think that's the most accepted explanation. Everything after my first sentence was total speculation, the tokenization is usually cited as the issue.